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Phishing Website Detection Using Neural Network and Deep Belief Network

机译:使用神经网络和深度信仰网络的网络钓鱼网站检测

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In the internet age, a large number of transactions are performed everyday, so website phishing is a crucial security problem in this age. Website phishing can be explained as stealing some information from the user without let them know that it is going to a non-genuine person. Our focus is on some techniques that make end users to be secured from phishing attack. We are developing neural network-based approach that will be prepared against previous dataset and latest acquired dataset so that it can have every flavor of phishing website data. The output layer of neural network gives the result and that result will determine whether the website is phishing or not.
机译:在互联网时代,每天执行大量交易,因此网站网络钓鱼是该年龄的至关重要的安全问题。 网站网络钓鱼可以解释为从用户窃取一些信息,而无需让他们就会到达非真正的人。 我们的重点是一些技术,使最终用户能够从网络钓鱼攻击中获得。 我们正在开发基于神经网络的方法,将针对以前的数据集和最新获取的数据集准备,以便它可以拥有每种网络钓鱼网站数据的风味。 神经网络的输出层给出了结果,结果将确定网站是否是网络钓鱼。

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